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Mid-level, popular Data Engineer role with broad Informatica/ETL requirements and hybrid/metro setting.
Data engineering skills are highly transferable across industries; domain experience is only a nice-to-have.
Explicit 4–6 years plus mandatory Informatica, SQL, Unix, and production-support skills require strict filtering.
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Build, enhance, and support ETL workflows and data integration solutions using Informatica for multiple source and target systems.
Develop and optimize data warehouse components including complex SQL queries and ensure data accuracy and integrity throughout the data lifecycle.
Provide production support including monitoring ETL jobs, troubleshooting, and automation of operational processes, while collaborating with analytics and business teams to deliver reliable data and reports.
4-6 years of Data Engineering or ETL development experience.
Strong expertise in Informatica PowerCenter or IICS and SQL/database skills.
Familiarity with Data Warehousing concepts, dimensional modeling, and production support troubleshooting.
Experience with Power BI or Business Objects support and Unix/Linux shell scripting.
Experienced with Agile delivery and collaborating across technical and business teams for data solutions.
Capable of mentoring junior engineers and participating in code reviews and process improvements.
Has practical knowledge of production support environments, ideally with some exposure to AWS, Snowflake, or DevOps though not strictly required.